UWBCarGraz Dataset

Jakob Möderl; Stefan Posch; Franz Pernkopf; Klaus Witrisal

doi:https://doi.org/10.3217/2gx2m-pt043

UWBCarGraz Dataset

Jakob Möderl, Stefan Posch, Franz Pernkopf, Klaus Witrisal

Research output: Non-print form › Data set/Database

Abstract

Dataset for car occupancy detection using ultra-wideband radar.

The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.
The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.

The matlab files are named as "UWBCarGraz_<fc>_<bw>_<activity>.mat" were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.

For more information about the data see the PDF document contained in the dataset as well as the releated works.

Original language	English
Publisher	Technische Universität Graz
Media of output	Online
DOIs	https://doi.org/10.3217/2gx2m-pt043
Publication status	Published - 20 Nov 2023

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https://doi.org/10.3217/2gx2m-pt043Licence: CC BY-NC 4.0

1 Finished
1 Active

CD-Laboratory for Location-aware Electronic Systems
Witrisal, K., Grebien, S. J., Fuchs, A., Wilding, T., Venus, A. & Wielandner, L.
1/01/18 → 31/12/24
Project: Research project
SEAMAL Front - Securely Applied Machine Learning
Witrisal, K., Bischof, H., Schreiber, H. & Freiberger, G.
1/10/20 → 30/09/23
Project: Research project

Cite this

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title = "UWBCarGraz Dataset",

abstract = "Dataset for car occupancy detection using ultra-wideband radar.The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.The matlab files are named as {"}UWBCarGraz___.mat{"} were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.For more information about the data see the PDF document contained in the dataset as well as the releated works.",

author = "Jakob M{\"o}derl and Stefan Posch and Franz Pernkopf and Klaus Witrisal",

year = "2023",

month = nov,

day = "20",

doi = "https://doi.org/10.3217/2gx2m-pt043",

language = "English",

publisher = "Technische Universit{\"a}t Graz",

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T1 - UWBCarGraz Dataset

AU - Möderl, Jakob

AU - Posch, Stefan

AU - Pernkopf, Franz

AU - Witrisal, Klaus

PY - 2023/11/20

Y1 - 2023/11/20

N2 - Dataset for car occupancy detection using ultra-wideband radar.The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.The matlab files are named as "UWBCarGraz___.mat" were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.For more information about the data see the PDF document contained in the dataset as well as the releated works.

AB - Dataset for car occupancy detection using ultra-wideband radar.The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.The matlab files are named as "UWBCarGraz___.mat" were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.For more information about the data see the PDF document contained in the dataset as well as the releated works.

U2 - https://doi.org/10.3217/2gx2m-pt043

DO - https://doi.org/10.3217/2gx2m-pt043

M3 - Data set/Database

PB - Technische Universität Graz

ER -

UWBCarGraz Dataset

Abstract

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Projects

CD-Laboratory for Location-aware Electronic Systems

SEAMAL Front - Securely Applied Machine Learning

Cite this